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    "### Intelligence Types:\n",
    "#### Preception:\n",
    "Definition: the ability to intecepret and understand sensory information from the enviroment\n",
    "\n",
    "Examples:\n",
    "\n",
    "Computer Vision: Recongiziong objects in images or videos\n",
    "\n",
    "Speech Recongiition: Converting spoken language into text.\n",
    "\n",
    "Sensor Data Anylysis:Interpreting data from sensors in autonomous vehicles\n",
    "\n",
    "\n",
    "\n",
    "#### Learning\n",
    "Definition: The ability to improve performance on tasks over time through experiences\n",
    "\n",
    "Examples:\n",
    "\n",
    "Supervised Learning: Training a model to predict outcomes based on labeled data(e.g,image classification).\n",
    "\n",
    "Unsupervised Learning:Find patterns in data without labeled outcomes(e.g.,clustering)\n",
    "\n",
    "Reinforcement Learning:Learning optimal actions through trial and error(e.g.game \n",
    "plaing AI).\n",
    "\n",
    "\n",
    "\n",
    "#### Reasoning\n",
    "\n",
    "Definition: The ability to draw conclusions and make decisions based on informaiton and logic\n",
    "\n",
    "Examles:\n",
    "\n",
    "Expert System: Using rule-based systems to diagnose medical conditions.\n",
    "\n",
    "Planing Algorithms: Determining the best sequence of actions to achieve a goal(e.g.,route planning)\n",
    "\n",
    "Deductive Reasoning:Apply general rules to specific cases to derive conclusions.\n",
    "\n",
    "\n",
    "Problem-Solving:\n",
    "\n",
    "Definition:The ability to find solutions to complex or novel situations.\n",
    "\n",
    "Examples:\n",
    "\n",
    "Optimization Problems:Finding the best solution among many possible options(e.g.,scheduling)\n",
    "\n",
    "Search Algorithms:Exploring possible states to find a goal state(e.g.pathfinding in games)\n",
    "\n",
    "Heuristic Methods:Using rules of thumb to make decisions in complex scenarios(e.g,chess playing ai)\n",
    "\n"
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